Corrosion Study of Carbon Steel in CO2 Loaded Amine-Amino Acid Solutions-Case of Mixtures of NMethyldiethanolamine and L-Arginine

© Published under licence by IOP Publishing Ltd. This research presents an electrochemical corrosion investigation to quantify the corrosiveness of carbon steel in blends of methyldiethanolamine (MDEA) and arginine (Arg) at two molar concentration and different solvent proportions. The selected temperatures range varied from 20 °C to 50 °C and the CO2 partial pressure was in the range of 49-100 kPa. The obtained data showed increased corrosion rate with increased CO2 partial pressure and increased the temperature of the solution. However, when added to MDEA, arginine was found to act as an inhibitor, the higher Arginine proportion in the mixture, the more inhibition effect was observed.This paper was made possible by an NPRP Grant # 7-1154-2-433 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors

CO2 Absorption Capacity and its Enthalpy of Absorption in Aqueous Blend of MDEA/Piperazine/Arginine

In this work, the solubility data of CO2 in aqueous blends of N-Methyldiethanolamine, Piperazine and Arginine (MDEA/PZ/ARG) of a total concentration of two moles is presented. CO2partial pressure was varied from 9 to 99 kPa while temperature ranged from 293 to 323 K in increment of 10 degrees. The experimental results showed that the solubility of CO2 decreased with increasing ARG ration in the mixture. These results were modelled using a semi-empirical (SE) vapor liquid equilibrium (VLE) model. The model was found able to adequately represent the experimental data with an average absolute deviation (AAD) less than 3.13 %. Using a truncated form of the semi-empirical model, the heat of CO2 absorption, ?Hab, at low pressure was estimated and found to be in the range of 32-66 kJ/mole CO2 absorbed.The authors would like to thank Qatar University for the financial support for the accomplishment of this work.Scopu

"Corner-based background segmentation using adaptive resonance theory"

A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, traffic monitoring and object detection. The main objective of this paper is to implement an effective background segmentation algorithm for corner sets extracted from video sequences. A dynamic prototype of the structure of background corners is produced and incoming corners are classified using a fuzzy ARTMAP neural network and labeled as pertaining to the background or foreground using a spatial clustering method. Finally the accuracy of the proposed algorithm is evaluated using PETS2006 benchmark data

Effect of temperature and fluid speed on the corrosion behavior of carbon steel pipeline in Qatari oilfield produced water

Metals integrity, such as carbon steel used in pipeline network can be seriously damaged by produced water causing serious corrosion problems. This can result in significant threats to safe operation of the oilfield facilities and leads to considerable economic losses. In this study, the effect of produced water from the North oilfield of Ras Laffan in Qatar on corrosion and scaling of carbon steel is investigated using electrochemical methods. The specimen rotation speed ranged from 0 to 2 m/s and temperature between 20 and 60 C were used as test parameters for the study. X-ray power diffractometer (XRD) and scanning electron microscopy (SEM) techniques were employed in the analysis of the corroded steel samples. It was found that the corrosion rate increased with increasing temperature and specimen rotation speed. These results also showed that the steel reacted with the corrosive ions at the early stage of its exposure to the produced water leading to the formation of corrosion products on the steel surface in which CaCO3 scale layer were deposited on the surface of the specimen as loose products due to the presence of large amounts of Ca2 + and HCO3- ions contained in the Rass Lafan oilfield produced water. More so, pitting and cracks were observed on the steel surface which increased as the temperature and specimen rotation speeds were increased, suggesting localized corrosion mechanism.This paper was made possible by an NPRP Grant # 7-1154-2-433 from the Qatar National Research Fund (a member of Qatar Foundation).Scopu

Comparing the Performance of Learnable Evolution Model LEM and Pattern Search as a Function Optimizer

The underlying paper presents a comparison of the learnable evolution model LEM and Pattern Search PS techniques as a function optimizer. In contrast to conventional Darwinian type evolutionary computation algorithm that uses various forms of mutation and/or recombination operators, LEM uses machine learning to guide the process of generating new individuals. It employs the AQ learning to generate hypotheses discriminating between groups of high and low fitness individuals, and then uses these hypotheses to generate new individuals. On the other hand pattern search is a class of direct search for derivative-free optimization with accurately established global convergence properties. Pattern search makes no use of derivative information, which might be unavailable, too expensive, or misleading. This paper focuses on measuring the performance of LEM3 and pattern search from the point of view of execution time in experiments on optimizing the Rastrigin function with different number of variables

Corrosion study of carbon steel in CO 2 loaded solution of N-methyldiethanolamine and L-arginine mixtures

This study presents an electrochemical corrosion investigation of carbon steel in blends of methyldiethanolamine (MDEA) and arginine (ARG) at different molar concentrations and solvent proportions. The effects of three main parameters which are CO 2 partial pressure, solution temperature and MDEA/ARG proportions ratio were studied. The selected temperatures range varied from 293 to 323 K and the CO 2 partial pressure was in the range of 49-98 kPa. The results showed that the corrosion rate increased with increased CO 2 partial pressure and solution temperature. However, when ARG was added to MDEA, it was found that ARG acts as an inhibitor, the higher ARG fraction in the mixture, the more inhibition effect was observed. SEM, XRD, and XPS techniques were used to characterize the corroded surfaces; analysis of the corrosion products of the specimen surface confirmed the formation of FeCO 3 protective layer.This paper was made possible by an NPRP Grant # 7-1154-2-433 from the Qatar National Research Fund (a member of Qatar Foundation).Scopu